AIML Intern

Thales; Dubai; On-site; AED 120,000 - 200,000; Part time

Job summary

A leading technology company in Dubai is seeking an AI/ML Intern to design an intelligent system for automating the extraction of financial data from various documents. The ideal candidate should have a background in Computer Science or related fields, strong Python skills, and a keen interest in finance data and applied AI. This internship offers an opportunity to work in a collaborative environment focused on innovative solutions.

Qualifications

• Final-year student or recent graduate in Computer Science, Data Science, or AI Engineering.
• Familiarity with NLP/LLM tools or OCR/Parsing models.
• Solid understanding of machine learning concepts and algorithms.

Responsibilities

• Collaborate with senior officials to understand project requirements.
• Build and improve pipelines to extract and structure data from financial statements.
• Use NLP and document AI models to interpret financial terminology.

Skills

Python skills

NLP / LLM tools

Interest in finance data

Curious and analytical

Education

Bachelors or Masters degree in AI, Computer Science or a related field

Tools

spaCy

Hugging Face

Tesseract

Job description

Location: Dubai United Arab EmiratesIn fast changing markets customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each aerospace transportation defence security and space our architects design innovative solutions that make our tomorrows possible.Thales has built a presence in the United Arab Emirates for over 35 years and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1800 people across Egypt Iraq Kuwait KSA Lebanon Oman Pakistan Qatar and UAE. Together we delivered technology for the Dubai metro the longest driverless metro network in the world and a fare collection system that processes up to 250000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabis airport.

JOB OBJECTIVE

We are seeking a talented and enthusiastic AI/ML Intern to join our team. You will help design and develop an intelligent system that can read understand and analyze financial statements using modern AI techniques (OCR NLP LLMs).
The goal: automate the extraction standardization and scoring of financial data from various document formats.

ROLES & RESPONSIBILITIES

• Collaborate with senior officials to understand project requirements and goals.
• Build and improve pipelines to extract and structure data from financial statements (PDFs images text).
• Use NLP and document AI models to interpret financial terminology and detect key insights.
• Contribute to cleaning and standardizing financial data.
• Participate in creating an automated financial scoring and reporting tool.
• Document your work and share findings with the team.

WORK EXPERIENCE REQUIREMENTS

• Final-year student or recent graduate in Computer Science Data Science or AI Engineering.
• Strong Python skills (pandas regex data manipulation).
• Familiarity with NLP / LLM tools (spaCy Hugging Face OpenAI API) or OCR/Parsing models (Docling Tesseract..).
• Interest in finance data and applied AI.
• Curious analytical autonomous and eager to learn in a collaborative environment.
• Solid understanding of machine learning concepts and algorithms.

QUALIFICATION CERTIFICATION & EDUCATIONAL REQUIREMENTS

• Bachelors or Masters degree in AI Computer Science or a related field.

PREFERRED SKILLS

• Experience with NLPLLMs document digitalization or data extraction projects.
• Basic understanding of database management.
• Previous internship or project experience in AI/ML.

At Thales we provide CAREERS and not only jobs. With Thales employing 80000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here apply now!

Required Experience:

Intern